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Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledge of a driver's recent sitting and sleep history could help reduce safety risks. This study aimed to apply deep learning to raw accelerometry data collected during a simulated driving task to classify recent sitting and sleep history. Participants (n = 84, Mean ± SD age = 23.5 ± 4.8, 49% Female) completed a seven-day laboratory study. Raw accelerometry data were collected from a thigh-worn accelerometer during a 20-min simulated drive (8:10 h and 17:30 h each day). Two convolutional neural networks (CNNs; ResNet-18 and DixonNet) were trained to classify accelerometry data into four classes (sitting or breaking up sitting and 9-h or 5-h sleep). Accuracy was determined using five-fold cross-validation. ResNet-18 produced higher accuracy scores: 88.6 ± 1.3% for activity (compared to 77.2 ± 2.6% from DixonNet) and 88.6 ± 1.1% for sleep history (compared to 75.2 ± 2.6% from DixonNet). Class activation mapping revealed distinct patterns of movement and postural changes between classes. Findings demonstrate the suitability of CNNs in classifying sitting and sleep history using thigh-worn accelerometer data collected during a simulated drive. This approach has implications for the identification of drivers at risk of fatigue-related impairment. [ABSTRACT FROM AUTHOR]

• >50% of new mothers who regularly drove did so while fatigued at least a few times each month. • 8.4% of new mothers reported having a near miss while driving every month. • New mothers should be categorised as an at-risk group for fatigued driving. During the first year of their child's life, mothers typically experience disrupted sleep and high levels of daytime fatigue. Other populations who experience sleep disruption and/or fatigue are considered to be at risk for fatigued driving. However, the degree of fatigue-related risk experienced by new mothers in Australia is unclear. This study aimed to investigate the prevalence of fatigued driving, fatigue-related near misses, and vehicle crashes in this population. A cross-sectional survey including the Pittsburgh Sleep Quality Index and a range of fatigue and driving questions was completed by 187 Australian new mothers. Over 50% of participants who regularly drove did so while fatigued at least a few times per month. Furthermore, most participants who reported near misses indicated that either some or more than some of these incidents were attributable to fatigue (>70%). Similarly, >55% of participants who reported experiencing a motor vehicle crash since the birth of their child indicated that this crash was caused by fatigue. These findings suggest that new mothers may be considered an at-risk group for fatigued driving. To address this issue, it may be appropriate to provide education around driver safety, and to establish strategies to help minimise fatigue-related driving risk in this population. Furthermore, future research should include objectively measured sleep to establish the link more accurately between prior sleep and driver safety in new mothers in Australia. [ABSTRACT FROM AUTHOR]

• New parents are likely to experience sleep loss due to childcare responsibilities. • A systematic review was performed to understand the relationship between sleep and driver fatigue in new parents. • Synthesis of available evidence suggests that new parents are at risk of fatigued driving. • A research agenda is proposed to address the limitations of this field of research. Fatigue-related motor vehicle crashes are common worldwide and have been addressed by a range of road safety campaigns. These campaigns are typically directed towards at-risk groups (e.g., heavy vehicle drivers), who may be likely to experience fatigue resulting from reduced or disrupted sleep opportunities. Another population likely to experience sleep loss and disruption is new parents. The sleep of new parents is likely to be significantly disrupted by childcare responsibilities. As such, new parents may also be likely to experience fatigue while driving. A systematic review of five databases (PubMed, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, EMBASE, and the Cochrane Central Register of Controlled Trials) was performed to identify what research is currently available on sleep, fatigue, and driving in new parents. A total of twelve documents were included in this review. A synthesis of findings suggests new parents are at risk of fatigued driving – though the amount and quality of evidence available is limited. A research agenda is proposed to address the limitations of this field of research. [ABSTRACT FROM AUTHOR]